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Thursday
, August 22
Auditorium
9:30am •
Senior Leadership Panel: Future Directions of Analytics
10:30am •
What do you do with limited data?
11:15am •
From Artisanal Analytics to AI
1:00pm •
Health and Healthcare Data Visualization - See how you're doing
2:00pm •
AI in Healthcare
3:00pm •
Where are enterprises on becoming truly data-driven, and what are "power-users" doing differently to get ahead?
Room 211
9:30am •
Reducing ML prediction uncertainty with systems-thinking in high-stakes events
10:30am •
Data Science for a Home Insurance Product
11:15am •
Future of HPC & AI Convergence
1:00pm •
Boston Data Science Community: An Open Discussion
1:00pm •
Implementing Data Science - SESSION CANCELED
2:00pm •
Enterprise Studio Collections: Machine Learning at Scale
3:00pm •
Empowering Your Organization Through Data Literacy: What it is data literacy, why I want it, and how I can help drive change?
3:45pm •
Building a Financial Scorecard using Python
Room 306
9:30am •
Did a Machine Write My Talk?
10:30am •
A Review of Data Sources used in Sports Analytics
11:15am •
Multilingual NLP for clinical text: impacting healthcare with big data, globally
1:00pm •
Technical drivers of cloud centralization and megacorporate domination
2:00pm •
Enabling Your Data Science Team with Modern Data Engineering
3:00pm •
Deep Learning Framework for Joint POI discovery & Scene Classification of ground level imagery
3:45pm •
The NPU Era
Room 322
9:30am •
Startup Showcase
10:30am •
Acceleration Solutions for Big Data & HPC
11:15am •
Applying AI to healthcare
Room 404
9:30am •
Predicting Leaders (and Followers) from online interactions
10:30am •
You Built It, But They Didn't Come: How Human-Centered Design Increases the Value of Decision Support Tools
11:15am •
Rapid Data Science
1:00pm •
Machine Learning in Practice: Anomaly Detection for Army ERP Data
2:00pm •
Navigating a Data Driven Career
3:00pm •
Experiences in using data science and machine learning tasks for K-12 education
3:45pm •
The Evolving Data Science Landscape
Room 406
9:30am •
Advancing Cancer Research with Deep Learning Image Analysis
10:30am •
Deep learning image recognition and classification models for fashion items
11:15am •
Applying Artificial Intelligence to Python Coding Courses
1:00pm •
Style-Aware Product Recommendation using Deep Ranking
2:00pm •
Accelerate delivery of ML-based products
3:00pm •
Deep Learning for Radiology Text Report Classification
3:45pm •
Using Ontologies to Power AI Systems
Room 408
9:30am •
Bayesed and Confused: Assessing the Ethical Implications of AI models
10:30am •
Establishing a Health Information Exchange at a Medical Device Company
11:15am •
Regularization and Functional Methods to Predict Nutrients
1:00pm •
Shapelets via Procrustes Tangent Distance matching
2:00pm •
Scaling ML/AI analytic execution for production datasets
Rooms 426 / 428 / 430
9:30am •
Creating value with AI: Building and managing data science teams for maximum business impact
10:30am •
A Bayesian Look at Clinical Risk Prediction
11:15am •
The Ethics Of Analytics
1:00pm •
Anomaly Detection Introduction
2:00pm •
Minding the Gap: Understanding and Mitigating Bias in AI
3:00pm •
Patient centric AI: Saving lives with ML driven hospital interventions
3:45pm •
Recommendation systems modeling
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MinneBOS - Boston's Field Guide to Data Science & Emerging Tech
America/New York
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Boston University Questrom School of Business, 595 Commonwealth Ave, Boston, MA
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Auditorium
Room 211
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